Article
Materials Science, Multidisciplinary
Longfei Xie, Wenlong Zhou, Shiwen Zou
Summary: In this study, electrochemical noise analysis was used to study pitting corrosion of Ti-15-3 alloy, combined with further analysis of microstructural characterization and electrochemical impedance spectroscopy to analyze the effect of surface roughness on pitting corrosion behavior. The results showed that polished Ti-15-3 alloy exhibited better corrosion resistance and improvement in resistance to pitting corrosion. Additionally, a possible mechanism for triggering pitting corrosion of Ti-15-3 alloy with different roughness in salt spray environment was proposed.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Engineering, Chemical
Florian Verbruggen, Pieter Ostermeyer, Luiza Bonin, Antonin Prevoteau, Kristof Marcoen, Tom Hauffman, Tom Hennebel, Korneel Rabaey, Michael S. Moats
Summary: The study used linear sweep voltammetry to investigate the electrodeposition behavior of copper and arsenic, aiming to produce grade A copper and remove arsenic from complex electrolytes. It was found that controlling copper concentration is crucial in the electrodeposition process, with the continuous deposition of arsenic requiring the presence of copper in solution to form copper arsenides. High copper concentration led to grade A copper production, while arsenic contamination in copper deposits was concentrated near the substrate side.
MINERALS ENGINEERING
(2022)
Article
Thermodynamics
Ruan Luzia, Lihki Rubio, Carlos E. Velasquez
Summary: Several studies have focused on improving forecasting techniques for capturing multiple patterns in time series. The advancement in computing hardware has made it possible to solve complex equations using large amounts of data, such as neural networks. However, time series methods like ARIMA can also provide good approximations with low computational resources. To enhance ARIMA approximations, they can be combined with techniques like Wavelet Transform or Fourier Transform. This study evaluates the suitability of using artificial neural networks, ARIMA combined with Wavelet Transform, or Fourier Transform to make predictions for different time horizons and frequencies. The results indicate that artificial neural networks perform better for short-term horizons, ARIMA with Fourier Transform provides the best approximation for monthly time series and any time horizon, and ARIMA with Wavelet Transform offers the best approximation for medium-term and long-term periods at any time frequency.
Article
Engineering, Electrical & Electronic
T. Tadakuma, M. Rogers, K. Nishi, M. Joko, M. Shoyama
Summary: This article introduces an analysis methodology to identify key parts without deleting time information using wavelet transform, and elucidates the effect of transition of dominant radiated noise generated at turn-on operation in CSTBTs with different carrier stored layer density.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2021)
Article
Chemistry, Physical
M. A. Rubio, D. G. Sanchez, P. Gazdzicki, K. A. Friedrich, A. Urquia
Summary: Early diagnosis of fuel cell failure modes using local electrochemical noise analysis is proposed in this study. The method is suitable for real-time diagnosis, achieves a high identification rate, and can be implemented using lightweight and inexpensive hardware.
JOURNAL OF POWER SOURCES
(2022)
Article
Optics
Wentao Luo, Yu He, Yan Tang, Xiaolong Cheng
Summary: Spectrally resolved interferometry plays a crucial role in micro/nano-scale geometric measurement, and phase extraction is the key. The S-transform has advantages in phase extraction and has been proven to be feasible for measuring step heights.
Article
Optics
Sen Xiang, Li Liu, Huiping Deng, Jin Wu, You Yang, Li Yu
Summary: The paper introduces phase light field (PLF) and re-formatted phase-epipolar-plane-images (phase EPIs) for depth estimation, and proposes a global cost minimization framework. The beetle antennae search (BAS) optimization algorithm is utilized to find the optimal line for depth estimation. The proposed method achieves significant acceleration compared to state-of-the-art methods while maintaining comparable depth quality.
Article
Chemistry, Multidisciplinary
Long Duong Ha, Ki Jun Kim, Seong Jung Kwon, Byoung-Yong Chang, Seongpil Hwang
Summary: This study demonstrates the use of short-time Fourier transform (STFT) and continuous wavelet transform (CWT) electrochemical impedance spectroscopy (EIS) for time-resolved analysis of stochastic collision events of platinum nanoparticles (NPs) onto gold ultramicroelectrode (UME). Enhanced electrocatalytic activity is observed in both chronoamperometry (CA) and EIS. CA provides impact moment and rough estimation of NP size, while quantitative information such as charge transfer resistance (R-ct) relevant to the exchange current density of a single Pt NP is estimated from EIS. CWT analysis of the phase angle parameter proves to be better for NP collision detection in terms of time resolution compared to the STFT method.
Article
Metallurgy & Metallurgical Engineering
Florian Verbruggen, Antonin Prevoteau, Luiza Bonin, Kristof Marcoen, Tom Hauffman, Tom Hennebel, Korneel Rabaey, Michael S. Moats
Summary: This study investigates the mechanisms of antimony contamination in electrolytic copper. It is found that the presence of Cu(II) facilitates the reduction of Sb(III), enabling codeposition of antimony in the early stages of copper deposition. The optimal concentration ratio of copper to antimony, as well as the use of additives, significantly impact codeposition reactions.
Article
Astronomy & Astrophysics
Ruben Krasnopolsky, Mario Ponce Martinez, Hsien Shang, Yao-Huan Tseng, Chien-Chang Yen
Summary: The study presents a novel direct numerical method for calculating gravitational potential and forces without the need for artificial boundary conditions. Numerical results show that the proposed method can achieve second order accuracy in computing both potential and forces.
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
(2021)
Article
Engineering, Electrical & Electronic
Dong Zhang, Hai Wang, Yang Feng, Xiaolin Wang, Gan Liu, Kaizhen Han, Xiao Gong, Jing Liu, Xuepeng Zhan, Jiezhi Chen
Summary: The proposed IMC scheme efficiently implements FFT for noise signal processing using flash memory, demonstrating successful analyses of LFN and RTN signals with matching frequency properties. It achieves high energy efficiency and is extendable to applications like image processing and voice recognition.
IEEE ELECTRON DEVICE LETTERS
(2022)
Article
Computer Science, Interdisciplinary Applications
Emilie Thibault, Francis Lebreux Desilets, Bruno Poulin, Moncef Chioua, Paul Stuart
Summary: Plant sensor data can contain errors that hinder process analysis and decision-making, but this paper addresses these challenges by comparing data processing techniques and using optimal parameters. By employing a parametric sweep algorithm, the study evaluates the performance of Kalman filter, exponential weighted moving average filter, short-time Fourier transform, and wavelet transform in processing synthetic flow and temperature signals from a heat exchanger network simulation. The results show that, in most cases, the wavelet transform achieves the highest reduction in root mean square error and improvement in signal-to-noise ratio when optimal parameters are selected.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Energy & Fuels
Wubin Wang, Dong Chen, Wenxi Yao, Wei Chen, Zhengyu Lu
Summary: This paper introduces a Fast Lock-in Amplifier (FLA) for electrochemical impedance spectroscopy (EIS) testing of lead acid batteries. FLA can perform partial period sampling and produces results consistent with FFT at whole number periods sampling.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
Yuanyuan Liu, Wei Zhu, Zhen Chen, Qiang Yu, Qi Hu, Zhaoyi Zheng, Lai Gui, Yuzhu Song
Summary: Anode materials PbO2-MnO2, PbO2-CoOx, and PbO2-MnO2-CoOx were prepared by anodic oxidation in the nitrate system. The PbO2-MnO2-CoOx anodes showed superior electrochemical performance compared to traditional PbO2, PbO2-MnO2, and PbO2-CoOx anodes, indicating practical value for reducing energy consumption.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Environmental Sciences
Yi Lu, Hengchi Lei, Kuo Zhou, Lingkun Ran
Summary: This study uses high-precision microbarograph data and radar data to analyze the gravity fluctuation characteristics of four convective processes in the Beijing-Tianjin-Hebei region. The results show that convective cases are accompanied by gravity fluctuations of different time scales. The stronger the convective process, the larger the fluctuation amplitude. The study also found that the gravity wave characteristics can be separated from the background field through wavelet transform, with wave periods mainly concentrated in the range of 15-250 minutes.
Article
Electrochemistry
Abdul Qayoom Mugheri, Shaista Khan, Ali Asghar Sangah, Aijaz Ahmed Bhutto, Muhammad Younis Laghari, Nadeem Ahmed Mugheri, Asif Ali Jamali, Arsalan Ahmed Mugheri, Nagji Sodho, Abdul Waheed Mastoi, Aftab Kandhro
Summary: Green hydrogen has the potential to transition to a pollution-free energy infrastructure. This study proposes a solution to produce hydrogen during the photoelectrochemical process, offering greater stability and control over chemical reactions. Techno-economic assessments show the efficiency and economic feasibility of co-producing value-added chemicals to enhance green hydrogen production.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Danpeng Cheng, Wuxin Sha, Qigao Han, Shun Tang, Jun Zhong, Jinqiao Du, Jie Tian, Yuan-Cheng Cao
Summary: LiNixCoyMn1-x-yO2 (NCM) is a critical cathode material for lithium-ion batteries in electric vehicles. The aging of cathode/electrolyte interfaces leads to capacity degradation and long-term cycle instability. A novel neural network model called ACGNet is developed to predict electrochemical stability windows of crystals, allowing for high-throughput screening of coating materials. LiPO3 is identified as a promising coating material with high oxidation voltage and low cost, which significantly improves the cycle stability of NCM batteries. This study demonstrates the accuracy and potential of machine learning in battery materials.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
P. Mohana, R. Yuvakkumar, G. Ravi, S. Arunmetha
Summary: This study successfully fabricates a non-noble CuO/NiO/rGO nanocomposite and investigates its electrocatalytic performance for oxygen evolution reaction in alkaline environment. The experimental results demonstrate that the electrocatalyst exhibits high activity and good stability, offering a new synthetic approach for sustainable energy production.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Qiong Qu, Jing Guo, Hongyu Wang, Kai Zhang, Jingde Li
Summary: In this study, a bifunctional electrode host design consisting of carbon nanofibers implanted ordered porous Co-decorated Al2O3 supported on carbon nanotube film (CNTF) was proposed to address the shuttling effect of lithium polysulfides (LiPSs) and dendrite formation of metal lithium anode in lithium-sulfur (Li-S) batteries. The electrode exhibited excellent conductivity, efficient confinement of LiPSs, and catalytic conversion performance, resulting in high initial capacity and good capacity retention during cycling. As an anode, the electrode showed excellent Li+ diffusion performance and uniform lithium growth behavior, achieving a dendrite-free lithium electrode. The flexible pack cell assembled from these electrodes delivered a specific capacity of 972 mAh g(-1) with good capacity retention.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Hong Zhang, Jin-Peng Yu, Chen Chen, Cheng-Yong Shu, Guang-Yu Xu, Jie Ren, Kai Cui, Wen-Fang Cai, Yun-Hai Wang, Kun Guo
Summary: Spray coating of acetylene black nanoparticles onto stainless steel mesh can enhance its biofilm formation ability and current density, making it a promising electrode material for microbial electrochemical systems. The spray coating method is simple, cost-effective, and suitable for large-size stainless steel electrodes.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Binpeng Hou, Jingjin Chen, Li-Hong Zhang, Xiaowen Shi, Zizhong Zhu
Summary: The electrochemical performance of Li1.20Mn0.44Ni0.32Co0.04O2 and its oxygen-deficient phase Li1.20Mn0.44Ni0.32Co0.04O1.83 was studied through first-principles calculations. The results show that the oxygen-deficient phase has a higher theoretical capacity but lower voltage platform and higher chemical activity compared to the pristine phase.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Yating Du, Sayoko Shironita, Daisuke Asakura, Eiji Hosono, Yoshitsugu Sone, Yugo Miseki, Eiichi Kobayashi, Minoru Umeda
Summary: This study investigates the effect of high- and low-temperature environments on the charge-discharge performance of a Li-ion battery. The deterioration mechanisms of the battery at different temperatures are analyzed through various characterization techniques. The results indicate that the battery performance deteriorates more significantly at a low-temperature environment of 5 degrees C compared to higher temperatures. The understanding of the deterioration mechanisms can contribute to the development of safer battery usage methods.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Si-Si Shi, Zhi-Xiang Yuan, Fei Zhang, Ping Chen
Summary: In this study, a new nano-electrocatalyst was prepared, which exhibited superior electrocatalytic activity for the reduction of NO2- to ammonia in a neutral electrolyte, potentially due to the synergistic enhancement between Co3O4-x and Co.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Berna Dalkiran, Havva Bekirog
Summary: This study reports the use of deep eutectic solvents (DES) based on ethylene glycol and urea as low-cost and green electrolytes for enhancing electrochemical detection of natural antioxidants. The study successfully developed a disposable and effective electrochemical sensing platform for simultaneous determination of ascorbic acid (AA) and gallic acid (GA) using NaOH nanorods on a pencil graphite electrode. The proposed electrode showed improved analytical performance, with higher peak currents and shifted oxidation potentials in DES compared to BR buffer medium.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Sijun Ren, Jianguo Huang
Summary: In this study, a novel bio-inspired nanofibrous WO3/carbon composite was synthesized using a facile hydrothermal method. The three-dimensional network structure of the composite alleviated the volume expansion of WO3 nanorods and enhanced the charge-transport kinetics. The optimized composite exhibited superior lithium storage properties.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Zhilong Zheng, Yu Chen, Hongxia Yin, Hengbo Xiao, Xiangji Zhou, Zhiwen Li, Ximin Li, Jin Chen, Songliu Yuan, Junjie Guo, Haibin Yu, Zhen Zhang, Lihua Qian
Summary: This study found that interstitial Zn cations in CoMoO4 can modulate the dissolution kinetics of Mo cations and improve the OER performance. The interstitial Zn cations can prevent the dissolution of Co cations at high potential, enhancing the durability of the catalyst.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Xiaobo Lin, Shern R. Tee, Debra J. Searles, Peter T. Cummings
Summary: Molecular dynamics simulations using the constant potential method were used to investigate the charging dynamics and charge storage of supercapacitors. The simulations revealed that the water-in-salt electrolyte exhibited the highest charge storage and significantly higher capacitance on the negative electrode. The varying contributions of different electrode regions to supercapacitor performance were also demonstrated.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Wiktoria Lipinska, Vita Saska, Katarzyna Siuzdak, Jakub Karczewski, Karol Zaleski, Emerson Coy, Anne de Poulpiquet, Ievgen Mazurenko, Elisabeth Lojou
Summary: The spatial distribution of enzymes on electrodes is important for bioelectrocatalysis. In this study, controlled spatial distribution of gold nanoparticles on Ti nanodimples was achieved. The efficiency of enzymatic O2 reduction was found to be influenced by the size of the gold nanoparticles and their colocalization with TiO2. The highest stability of enzymatic current was observed with the largest gold nanoparticles.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Tariq M. Al-Hejri, Zeenat A. Shaikh, Ahmed H. Al-Naggar, Siddheshwar D. Raut, Tabassum Siddiqui, Hamdan M. Danamah, Vijaykumar V. Jadhav, Abdullah M. Al-Enizi, Rajaram S. Mane
Summary: This study explores a promising self-growth approach for the synthesis of nickel hydroxide (Ni(OH)2) nanosponge-balls on the surface of a nickel-foam (NiF) electrode. The modified NiF electrode, named Ni(OH)2@NiF, shows distinctive nanosponge-ball morphology and demonstrates excellent energy storage capability and electrocatalytic performance in both hydrogen and oxygen evolution reactions.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Rafael Del Olmo, Gregorio Guzman-Gonzalez, Oihane Sanz, Maria Forsyth, Nerea Casado
Summary: The use of Lithium-Ion Batteries (LIBs) is becoming increasingly extensive, and it is important to optimize the devices to achieve their maximum practical specific capacity. In this study, mixed ionic-electronic conducting (MIEC) binders based on PEDOT:PSS and PEDOT: PDADMA-TFSI were developed for Li-ion cathodes, and their performance was compared with conventional formulations. The influence of electrode formulations, including the addition of conducting carbon and an Organic Ionic Plastic Cristal (OIPC), was also analyzed. The proposed binders showed improved performance compared to conventional formulations with different electrolyte types and active materials.
ELECTROCHIMICA ACTA
(2024)